Kohei Arai 
Proceedings of the Future Technologies Conference (FTC) 2024, Volume 1 [PDF ebook] 

Wsparcie

This book covers proceedings of the Future Technologies Conference (FTC) 2024 which showcase a collection of thoroughly researched studies presented at the ninth Future Technologies Conference, held in London, the UK. This premier annual event highlights groundbreaking research in artificial intelligence, computer vision, data science, computing, ambient intelligence, and related fields.

With 476 submissions, FTC 2024 gathers visionary minds to explore innovative solutions to today’s most pressing challenges. The 173 selected papers represent cutting-edge advancements that foster vital conversations and future collaborations in the realm of information technologies.

The authors extend their deepest gratitude to all contributors, reviewers, and participants for making FTC 2024 an unparalleled success. The authors hope this volume inspires and informs its readers, encouraging continued exploration and innovation in future technologies.

€235.39
Metody Płatności

Spis treści

A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams.- Cloud Versus Local: Performance Evaluation of Multi-Node Hadoop Clusters Using Hi Bench Benchmarks.- The Serial Data Processing Unit: High Performance with Parallelism in Network Processing.- Leveraging Artificial Intelligence Models Using Synthetic Data.- Tausi: A Holistic Artificial Intelligence Approach to Credit Scoring Using Informal Data for a Sustainable Micro-Lending African Economy.- Quickest Detection of Failures in Autoregressive Stochastic Systems in Short Periods.- Towards the Design of Explanation-aware Decision Support Systems.- AI to Detect Firms’ Competitive Performance: An Application of Auto Contractive Map to the Hospitality Industry.- Sustainable Practices in AI and Big Data.- A Multi-Layered Approach to Evaluating Speech Translation Performance of Meetings.

Kup ten ebook, a 1 kolejny otrzymasz GRATIS!
Język Angielski ● Format PDF ● Strony 640 ● ISBN 9783031731105 ● Rozmiar pliku 105.4 MB ● Wiek 02-99 lat ● Redaktor Kohei Arai ● Wydawca Springer Nature Switzerland ● Miasto Cham ● Kraj CH ● Opublikowany 2024 ● Do pobrania 24 miesięcy ● Waluta EUR ● ID 10016367 ● Ochrona przed kopiowaniem Społeczny DRM

Więcej książek elektronicznych tego samego autora (ów) / Redaktor

5 112 Ebooki w tej kategorii